Hao Su
Most Recent Affiliation(s):
- University of California, San Diego, Stanford University
Learning Jury Member:
Experience(s):
Learning Presentation(s):
![Dictionary Fields: Learning a Neural Basis Decomposition](https://history.siggraph.org/wp-content/uploads/2024/02/2023_Technical-Paper_Chen_Dictionary-Fields-150x150.jpg)
Type: [Technical Papers]
Dictionary Fields: Learning a Neural Basis Decomposition Presenter(s): [Chen] [Xu] [Wei] [Tang] [Su] [Geiger]
[SIGGRAPH 2023]
![A unified newton barrier method for multibody dynamics](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Chen_-A-Unified-Newton-Barrier-Method-for-Multibody-Dynamics-150x150.jpg)
Type: [Technical Papers]
A unified newton barrier method for multibody dynamics Presenter(s): [Chen] [Li] [Lan] [Su] [Yang] [Jiang]
[SIGGRAPH 2022]
![Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wei_-Approximate-Convex-Decomposition-for-3D-Meshes-With-Collision-aware-Concavity-and-Tree-Search-150x150.jpg)
Type: [Technical Papers]
Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search Presenter(s): [Wei] [Liu] [Ling] [Su]
[SIGGRAPH 2022]
![Deep view synthesis from sparse photometric images](https://history.siggraph.org/wp-content/uploads/2023/01/2019-Technical-Papers-Xu_Deep-View-Synthesis-from-Sparse-Photometric-Images-150x150.jpg)
Type: [Technical Papers]
Deep view synthesis from sparse photometric images Presenter(s): [Xu] [Bi] [Sunkavalli] [Hadap] [Su] [Ramamoorthi]
[SIGGRAPH 2019]
Learning Moderator Presentation(s):
![Fast GPU-based Two-way Continuous Collision Handling](https://history.siggraph.org/wp-content/uploads/2024/02/2023_Technical-Paper_Wang_Fast-GPU-based-Two-way-Continuous-Collision-Handling-150x150.jpg)
Type: [Technical Papers]
Fast GPU-based Two-way Continuous Collision Handling Presenter(s): [Wang] [Chen] [Li] [Liu] [Wang] [Zhou]
[SIGGRAPH 2023]
![High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Ferguson_High-Order-Incremental-Potential-Contact-for-Elastodynamic-Simulation-on-Curved-Meshes-150x150.jpg)
Type: [Technical Papers]
High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes Presenter(s): [Ferguson] [Jain] [Zorin] [Schneider] [Panozzo]
[SIGGRAPH 2023]
![In-Timestep Remeshing for Contacting Elastodynamics](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Fergusson_In-Timestep-Remeshing-for-Contacting-Elastodynamics-150x150.jpg)
Type: [Technical Papers]
In-Timestep Remeshing for Contacting Elastodynamics Presenter(s): [Ferguson] [Schneider] [Kaufman] [Panozzo]
[SIGGRAPH 2023]
![P2M: A Fast Solver for Querying Distance from Point to Mesh Surface](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Zong_P2M-A-Fast-Solver-for-Querying-Distance-from-Point-to-Mesh-Surface-150x150.jpg)
Type: [Technical Papers]
P2M: A Fast Solver for Querying Distance from Point to Mesh Surface Presenter(s): [Chen] [Xu] [Song] [Chen] [Xin] [Wang] [Tu]
[SIGGRAPH 2023]
![Shortest Path to Boundary for Self-Intersecting Meshes](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Chen_Shortest-Path-to-Boundary-for-Self-Intersecting-Meshes-02-150x150.jpg)
Type: [Technical Papers]
Shortest Path to Boundary for Self-Intersecting Meshes Presenter(s): [Chen] [Diaz] [Yuksel]
[SIGGRAPH 2023]
Role(s):
- Studio (SIGGRAPH Lab) Presenter
- Technical Paper Presenter
- Technical Paper Session Moderator
- Technical Papers Jury Member
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